Earticle

Over the past decades, the astounding development in both computer technology and the network has considerably promoted the research and application of language educational technologies. Given the tendency of China’s college English education as well as the curriculum requirements dictated by the Ministry of Education of China (2004), it is necessary to develop a CALL system corresponding to China’s college English education reality. The paper concerns itself with an analysis of English Language & Culture CAI Matrix (ELCCAIM) developed independently by the practicing English teachers of Foreign Languages College of Sichuan University in China. By analysing ELCCAIM, the paper aims to explore the feasibility and necessity of developing the localized CALL system for China’s college English teaching and learning on the base of computer technology and the campus-network and applying the theories of educational psychology and linguistics to the development process.

지식정보사회에서 발전된 네트워크 인프라를 바탕으로 전산망의 구조는 보안성을 확보한 다양한 형태의 망 구성을 구축하여 운영하고 있다. 국가·공공기관 전산망의 경우 각 기관별 특성과 연계 기관까지 고려한 기술적, 관리적 보안환 경 구축이 필요하며, 이를 위해 기관별 특성에 따른 사이버 위협을 분류 및 위협 지도를 바탕으로 기술적·관리적 취약점 및 사이버 위협을 분석 등을 통한 사이버 훈련을 위한 기본 연구의 중요성이 대두되고 있다. 따라서 본 연구에서는 인 터넷망과 국가정보통신망의 이원적 인프라 망을 기반으로 구축되어진 국가·공공기관 전산망의 내·외부 사이버 위협에 따른 유형별 분석을 사례 기반의 시나리오를 통해, 실질적인 사이버 위협 요소를 도출 및 분석하여 사이버보안 훈련 요 소 도출용 사이버 위협 MAP을 제시하고자 한다.

Based on the network infrastructure advanced in the information knowledge society, the structure of computer net work is operated by establishing the composition of network in various forms that have secured the security. In case of computer network of national/public organizations, it is necessary to establish the technical and managerial securit y environment even considering the characteristics of each organization and connected organizations. For this, the im portance of basic researches for cyber training by analyzing the technical/managerial vulnerability and cyber threats based on the classification and map of cyber threats according to the characteristics of each organization is rising. T hus, this study aims to analyze each type of external/internal cyber threats to computer network of national/public o rganizations established based on the dualistic infrastructure network of internet and national information network, a nd also to present the cyber threat framework for drawing the elements of cyber security training, by drawing and analyzing the actual elements of cyber threats through the case-based scenario.

본 연구의 목적은 광고 분야에서 상대적으로 연구 성과가 미흡한 온라인상의 인터넷 광고 이미지 측정을 위한 대표 형용사를 추출하는데 있다. 광고주 및 광고대행사가 수용자에게 심어주고자하는 이미지를 측정하기 위해 인터넷광고 중 컴퓨터 및 정보통신 업종의 78개 회사가 2007년 한 해 동안 실시한 노출형광고물 610개를 대상으로 카피에서 형용사를 추출하였다. 그 결과 69개의 형용사가 추출되었으며, 이들을 대상으로 31명의 고관여자를 대상으로 69개 형용사 각각에 대해 연관이 높은 것을 판단되는 다른 형용사를 69개 형용사 풀(pool)에서 자유롭게 선택하도록 유도하였다. 이 데이터를 연결망분석(network analysis)을 통해 중앙성(centrality)이 높은 총 10개의 대표형용사를 추출할 수 있었다. 본 연구는 학술적으로는 인터넷 광고시장의 이미지 형용사를 광고물 제공자 시각에서 추출하여, 미래에 이미지스케일을 작성할 수 있는 근거를 마련했다는 의미가 있다. 실무적으로는 컴퓨터 및 정보통신 온라인 광고물 이미지의 시계열적 변화분석 및 경쟁사와의 포지셔닝 경쟁을 파악할 수 있는 기초자료를 제공받게 되었다. 또한 다른 형용사보다 많은 형용사 이미지를 불러일으키거나, 많은 형용사로부터 연상되는 이미지를 대표형용사로 제시하여 광고대행사가 미래에 광고비 대비 효과가 높은 형용사를 보고하였다

The main objective of this study is to calibrate the adjectives for internet advertising ‘Image scale’ for computer and IT industries. Based on the copy adjectives from internet advertising from these two industries, the researchers find out 69 adjectives in 2007. Using network analysis and centrality measurement, we find out 10 main adjectives for computer and IT industries on on-line advertising. Working through these image scaling, academically we can provide basic data for construct for online image scale and practically be able to define the scope of image representation of copy on online ad for computer and IT industries.

Computer network is one of the world's most important infrastructures in twenty-first Century, network fault diagnosis has become the focus of attention. With the development of artificial intelligence, using the neural network technology into the network fault diagnosis area can play an important role to the advantages of neural network in fault diagnosis. In this paper, the method is widely used, which is combined the self organizing feature map (SOM) neural network and multilayer feedforward neural network (BP): The result of the training samples using SOM neural network clustering algorithm is added to the original training samples and set a certain weight, through iterative update to the weight, in order to improve the convergence the speed of BP neural network. Using computer network fault diagnosis as a practical example for the computer simulation and analysis developes a set of computer network diagnosis system can provide reference and assistance for the work of theory research and application.

With the rapid development of computer network, the problem of reliability of computer network is becoming more and more attention of builders, users and the network designer. The reliability of computer network has become a key technical indicators to measure the comprehensive performance of computer network. Aiming at a single known computer network, applying to established the computer network link cost model and the computer network reliability model, and carries on the simulation using the genetic algorithm intelligent algorithm; comprehensive evaluation for a variety of known different computer network reliability index system, and we have given the evaluation results. The simulation results show that, the established computer network link cost model and the computer network reliability model in the thesis are suitable, model algorithm and programming language is effective, it has the practical application significance which the paper proposed the computer network reliability optimization design concrete plan.

To curb the impact and transmission of worms and virus for simple mass action incidence rate in computer networks, SI1I2RS (Susceptible, Infectious due to worm, Infectious due to virus, Recovered and Susceptible) model have been formed. Basic reproduction number, endemic equilibrium state and their stability are discussed for the simple mass action incidence. For locally and globally asymptotically stability of the infection free equilibrium state, Liapunov function is used. Numerical methods have been used to solve and simulate the system which will help us to understand the attacking behavior and transmission dynamics of malicious object in computer network, and efficiency of antivirus software.

In this paper, an attempt has been made to develop a compartmental Epidemic model on the transmission of malicious objects in a computer network with natural death (that is, crashing of nodes due to the reason other than the attack of malicious objects) and vertical transmission. In this model there are two possibilities of computer network: one of high infectious server nodes having high intensity rate of malicious attack while another is low infectious client nodes having low intensity rate of malicious attack. The high infectious server nodes transfer the malicious objects to the low infectious client nodes in the computer network. The low infectious client nodes recover with temporary immunity and becomes again susceptible to the high infectious server nodes but at a lower rate. This needs to develop effective immunity after a period of time and a fully automatic defense mechanism to protect computer networks from modern and fast propagating worms. The stability of the result is stated in terms of the Jacobian of the system and the basic reproduction number is also well-defined. Numerical methods and MATLAB are employed to solve and simulate the system of equations developed and analysis of the model gives remarkable exposure.

In recent times, malicious objects have significantly increased in volume by many folds. Firewall, anti-virus (AV) or signature based intrusion detection systems (IDSs) all are found effective but only for known malicious objects. In that sense, unknown malicious objects are more dangerous. There are many techniques like honeypots, honeynets or anomaly based IDSs which are capable enough to identify these new malicious objects. This paper introduces a technique to develop a library not only for past and present attacks but also for future attacks, so that signature based IDSs not only detect known malicious objects but the unknown and future malicious objects as well. In our approach, with the help of a series of four algorithms, we show a way to develop all possible variants of each detected malicious object and finally update the library with these variants in order to empower it with future attacks.

Service-Oriented Architecture (SOA) constructs applications by publishing services in an open network environment. In network environment individual service changes highly dynamically, it is required the system based on services to adapt to this change. But the current service management in network environment doesn’t have a good, unified management mode, management mechanism, service and quality control system, and lacks of theoretical foundation to express formal service system. In this paper, a service management framework is designed. A mechanism and method based on strategy and dynamic network environment service management are proposed. The method can effectively solve the problem of dynamic service management in network environment, and is widely used in dynamic service management based on Web services.

Nowadays, a growing number of mobile equipments have more than one single network interface. For instance, smart phones have 3G/4G and Wi-Fi interfaces at the same time. Regular TCP restricts communications to a single path per transport connection. MPTCP (Multipath TCP) is a set of extensions to traditional TCP to improve the robustness and performance of end-to-end transport layer connections using more than one interface simultaneously. A key issue in the design of MPTCP is the fairness to traditional TCP flows. In this paper, we do a research on the congestion control mechanism of MPTCP and propose a dynamic weighted congestion control algorithm, which can improve the fault of the congestion control algorithm in the RFC 6356 when the subflows have share bottleneck. When the subflow increases the window size, dynamic weight algorithm will increase weight of the congestion window by the size of the congestion window. A MPTCP flow with the dynamic weighted congestion algorithm can allocate their traffic by the throughput of the subflow and get more fairness to traditional TCP flows than the MPTCP in RFC 6356.

In this paper, in order to assess the risk of network, network security assessment process being involved in the content in detail. The above-mentioned research-based support system platform security test and evaluate research of the safety situation assessment. Prediction subsystem detailed design and carry out the implementation. In this paper, network security issues, as a detailed study of neural networks knowledge. Focus on the evaluation methods and calculation rules of nerve network technology, it has been studied by specific examples. Calculation demonstrated the feasibility of neural network evaluation model through actual case, which pointed out the traditional methods. This paper focuses on the network security assessment based on neural network technology, extensive analysis of the proposed major modeling tool indicator system for network security analysis. The application of neural networks was a network security assessment and to optimize the network by genetic algorithm. The key parameter combination operated efficiency of neural networks to get better play.

Computer network vulnerability analysis is a method of analysis and evaluation of network security beforehand. The attacks method has occurred in the network, the previous network status change as input information, calculated by the model analysis. Forecasting network node may be network attacks given the current security level value network, network security reinforcement measures taken before the danger. Administrators can proactively identify network security issues, to take measures in advance to avoid information leakage, financial losses, ensure the safety of individuals and countries. Therefore, vulnerability analysis computer network is very important. Based on the properties of attack graph shows the method of attack graphs to Bayesian network transformation, using the new algorithm to eliminate loops attribute attack graph optimization, building the Bayesian attribute attack graph model used to evaluate the network itself security situation. In this model, based on Bayes formula for calculating the probability of a new node probability calculation formula and attack paths occur for calculating network vulnerability assessment of the quantitative indicators. The model not only can visually process description of cyber attacks, but also into the Bayesian network probabilistic thinking of possible network attack path prediction and assessment.

A recent major development in computer technology is the advent of the wearable computer system that is based on human-centric interface technology trends and ubiquitous computing environments. Wearable computer systems can be integrated with the wireless universal serial bus (WUSB) that refers to USB technology that is merged with WiMedia PHY/MAC technical specifications. A wireless body area network (WBAN) allows the integration of intelligent, miniaturized, low-power sensor nodes that monitor body functions and the surrounding environment. In this paper, we propose a method for multi-hop network extension of WUSB over WBAN protocol. Unlike a wired USB that physically separates the USB host and USB device, WUSB allows a device to separately function as both a WUSB host and WUSB device on a single transceiver; such devices are referred to as the dual role devices (DRD). By using this DRD function of WUSB protocol, we propose a WUSB clustering method to realize the multi-hop network extension of WUSB over WBAN protocol in wireless home networks. In the WUSB clustering method, a new DRD message format reserves 2-hop range private DRP (Distributed Reservation Protocol) resources. In the experiment results, efficiency of the WUSB clustering method is proven through throughput evaluation in viewpoints of medical and nonmedical multi-hop WBAN services.

This paper considers the multi-protocol label switching enterprise computer network routing optimization problem, in the network reliability constraints, by selecting the optimal work and alternate paths, and carries on the bandwidth allocation; network total construction cost is minimal. Due to the total construction cost and network reliability is related to choice of the length of the path, the optimal route network design problem can be decoupled into two sub-problems: cost and reliability related issues, among them, the cost of related sub problem study, Sohn et al. For reliability related problems, reduce the search space understanding, this chapter will work best and standby path search space from a hyper plane reduce to the hyper plane line; Then, reliability related algorithm is proposed to solve the problem. Because of the cost and reliability related sub-problem solutions are obtained based on the same search criterion, so the original problem of optimal work and backup path of solution set is by comparing the two sub problems solution to work out. Finally, related algorithm provides a numerical example to verify the reliability and the validity of the global network routing design method.

In today’s world the networking plays a very important role in our life. Most of the activities occur through the Internet. For the safe and secured exchange of information, we need to have security. The encryption has very wide applications for securing data. Latest authentication deals with biometric application such as fingerprint and retina scan. The different types of encryptions and their strength and standards are discussed.

With the rapid development of the Internet, the antivirus software of the network is always emerging and constantly changing. Traditional detection methods can’t effectively kill the new viruses and malicious software, the complexity of which also makes itself easy to be attacked by malicious software. The emergence of cloud computing has changed the status quo. Therefore, the architecture model of virus malware detection based on cloud computing is proposed in this paper. Based on the combination of the method for detecting malicious software virus based on cloud computing and the algorithm analysis theory in machine learning, a new type of distributed CFO algorithm is proposed, and the closed environment of cloud computing virtual machine nodes is used to realize dynamic behavior monitoring to the virus malware, then the distributed fluctuations PIF algorithm is used to describe the process of dynamic analysis and analysis reporting, besides, the wave algorithm is carried out corresponding improvement based on the analysis of the environment. Experimental results show that the model can detect the conditional trigger behavior of virus malware, so as to find the conditions for triggering malicious behavior and the input data that satisfy these conditions and the performance of this monitoring system is greatly improved compared with the common single machine system.

The importance of computer system security of banks can never be exaggerated. Conducting risk assessment of computer system security of banks can increase safety management and ensure normal operation. This paper firstly figures out risk assessment indexes for computer system security of banks through literature review and survey. Secondly, it uses AHP to confirm the weight of indicators and establishes five security levels. According to the judgment of experts, it finally establishes the risk assessment model for computer system security of banks.

Nowadays, the rapid development of computer networks calls for highly distributed management technologies that aim at integration and automation. This paper then gives an overview of current management architectures for computer networks, and tries to apply P2P technologies to make up existing limitations in term of performance, scalability, flexibility, maintainability and reliability. Due to their characteristics, P2P technologies provide a prospective approach to implement inter-domain network management, moving towards cooperative management. Performance issues show that, appropriate manipulations especially by means of compressing the P2P traffic and P2P messages, are of great significance in utilizing P2P technologies for computer network management.